Ahmed El-Kishky

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NLP Researcher

  ahelk [AT]

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  Curriculum Vitae

About

I'm a machine learning researcher with experience in NLP (large language models, machine translation, and information extraction), graph ml (representation learning), and recommender systems.

I graduated with a PhD from the Data Mining Group (DMG) at UIUC, where I had the privilege to be advised by Jiawei Han. I was also fortunate enough to have had my PhD studies funded by both an NSF Graduate Research Fellowship and an NDSEG Graduate Research Fellowship.

My interests are broadly in large-scale machine learning, natural language processing, graph machine learning, and recommender systems.

Publications

  • PRE-PRINT Competitive Programming with Large Reasoning Models
    OpenAI: Ahmed El-Kishky, Alexander Wei, Andre Saraiva, Borys Minaiev, Daniel Selsam, David Dohan, Francis Song, Hunter Lightman, Ignasi Clavera, Jakub Pachocki, Jerry Tworek, Lorenz Kuhn, Lukasz Kaiser, Mark Chen, Max Schwarzer, Mostafa Rohaninejad, Nat McAleese, o3 contributors, Oleg Mürk, Rhythm Garg, Rui Shu, Szymon Sidor, Vineet Kosaraju, Wenda Zhou. Technical Report, Feb. 2025.

  • PRE-PRINT OpenAI o1 System Card
    OpenAI: Aaron Jaech, Adam Kalai, Adam Lerer, Adam Richardson, Ahmed El-Kishky, Aiden Low, Alec Helyar, Aleksander Madry and others. System Card, Dec. 2024.